Evidence map›Paper›PMID 41992809›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2026

Predicting 1-year mortality in older cancer patients: performance of G8, SPPB, and IF-VIG in the PROFIT Study.

Maria Cristina Ferrara, Fabricio Zambom-Ferraresi, Aida Ribera, Idoia Morilla-Ruiz, Sofia Espinoza-Tofalos, Carmina Castellano-Tejedor, Josep Majó-Llopart, Oriol Planesas-Pérez, Eva Heras, Francisco José Tarazona-Santabalbina and 3 more

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors.

Maria Cristina FerraraSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.ORCID 0000-0002-7971-5943
Fabricio Zambom-FerraresiIdiSNA, Navarrabiomed, Hospital Universitario de Navarra (HUN), Department of Geriatric Medicine, Universidad Publica de Navarra (UPNA), Pamplona, Spain.
Aida RiberaREFiT research group, Parc Sanitari Pere Virgili and Vall d'Hebron Institute of Research, Barcelona, Spain.
Idoia Morilla-RuizIdiSNA, Navarrabiomed, Hospital Universitario de Navarra (HUN), Department of Geriatric Medicine, Universidad Publica de Navarra (UPNA), Pamplona, Spain.
Sofia Espinoza-TofalosDivision of Geriatric and Intensive Care Medicine, Careggi Hospital, University of Florence, Florence, Italy.
Carmina Castellano-TejedorREFiT research group, Parc Sanitari Pere Virgili and Vall d'Hebron Institute of Research, Barcelona, Spain.
Josep Majó-LlopartInstitut Català d'Oncologia, Girona, Sant Ponç, Avinguda de França 0, Girona, Spain.
Oriol Planesas-PérezREFiT research group, Parc Sanitari Pere Virgili and Vall d'Hebron Institute of Research, Barcelona, Spain.
Eva HerasServei Envelliment i Salut, Servei Andorrà d'Assistència Sanitària, Carrer Dels Escalls, S/N, Escaldes, Andorra.
Francisco José Tarazona-SantabalbinaGeriatric Service, Hospital Universitario de la Ribera, Valencia, Spain.
Hugo BadaniREFiT research group, Parc Sanitari Pere Virgili and Vall d'Hebron Institute of Research, Barcelona, Spain.
Nicolàs Martínez-VelillaIdiSNA, Navarrabiomed, Hospital Universitario de Navarra (HUN), Department of Geriatric Medicine, Universidad Publica de Navarra (UPNA), Pamplona, Spain.ORCID 0000-0001-9576-9960
Marco InzitariREFiT research group, Parc Sanitari Pere Virgili and Vall d'Hebron Institute of Research, Barcelona, Spain.ORCID 0000-0002-3796-0625

Funding

Asociación Española Contra el Cáncer. AYUDA PROYECTOS AECC 2020 PROYE20075INZI
6 · The paper itself

Abstract

backgroundFrailty is a prognostic determinant in older patients, yet the most effective tools to predict survival remain unclear. This study aimed to assess the predictive performance of different frailty assessment tools for 1-year mortality in the oncogeriatric population.

methodsA multicenter cohort study (PROFIT Study) involved patients aged ≥65 with cancer, evaluated in oncology clinics and post-acute oncogeriatric units. Frailty was measured using the Geriatric 8 questionnaire (G8), Short Physical Performance Battery (SPPB), and the Frailty Index Indice Frágil-Valoración Integral Geriátrica (IF-VIG). One-year mortality was monitored. Predictive ability was analyzed using receiver operating characteristic curves with optimized cut-offs, and covariate-adjusted Cox regression models were used to evaluate the association between frailty and mortality.

resultsAmong 229 patients (mean age 75.1 ± 6.4 years; 68.6% male; cancer type: 47.2% lung cancer, 17.9% colorectal, 25.3% other gastrointestinal, 9.6% prostate; tumoral stage IV: 85.2%), 146 (63.7%) died within 1 year. All tools showed predictive value, with IF-VIG demonstrating the highest sensitivity and SPPB the highest specificity. Optimized cut-offs improved performance compared to standard thresholds (G8: 12.5 vs 14; SPPB: 8 vs 9; IF-VIG: 0.16 vs 0.25). Adjusted Cox models confirmed significant associations with 1-year mortality: hazard ratio [HR] 1.97 (95% CI 1.30-2.99) for G8, 2.35 (95% CI 1.52-3.64) for SPPB, and 2.42 (95% CI 1.50-3.90) for IF-VIG.

conclusionsAll frailty tools were significantly associated with 1-year mortality. SPPB and IF-VIG outperformed G8 in prognostic accuracy, highlighting their potential utility in clinical decision-making for older patients with cancer.

Indexed as

FrailtyGeriatric AssessmentNeoplasmsPhysical Functional PerformanceAgedAged, 80 and overCohort StudiesFemaleFrail ElderlyHumansMalePredictive Value of TestsPrognosisSurveys and QuestionnairesCancerFrailtyGeriatric assessmentPhysical performance

Identifiers

PMID41992809
PMCPMC13134773

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.